RealRui

Active-Client-Selection-for-Communication-efficient-Federated-Learning

Active Client Selection for Federated Learning

android-multi-module-demo

android安卓模块化开发最佳实践demo

ASE

Advanced Software Engineering course materials

Async-HFL

[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Awesome-Federated-Learning-on-Graph-and-Tabular-Data

Federated learning on graph and tabular data related papers, frameworks, and datasets.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

divfl

Diverse Client Selection for Federated Learning via Submodular Maximization

fednp

osgearth

A free open source C++ terrain rendering toolkit.

RealRui/DisCGS

RealRui/F2GNN

RealRui/F2L

RealRui/FCAC

RealRui/fed_cvae

Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.

RealRui/fed_het

RealRui/fedalv

RealRui/Federated-Hyper-Knowledge-Distillation

RealRui/FederatedScope

An easy-to-use federated learning platform

RealRui/FedFed

[NeurIPS'23] FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

RealRui/FedFormer

FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)

RealRui/FEDORA

[FL-ICML 2023] Code for Federated Ensemble-Directed Offline Reinforcement Learning

RealRui/FedOV

Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)

RealRui/FedPAC

Simplified Implementation of FedPAC

RealRui/FedPepTAO

RealRui/FLASH-RL

FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy for client selection in Federated Learning using Reinforcement Learning to address heterogeneity problems.

RealRui/Fling

RealRui/FoodSAM

FoodSAM: Any Food Segmentation

RealRui/ICCV-2023-FedETF

The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier".

RealRui/ICML-2023-FedLAW

The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".

RealRui/MarsFL

Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark

RealRui/MaT-FL

[CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang

RealRui/medperf

An open benchmarking platform for medical artificial intelligence using Federated Evaluation.

RealRui/MobileSAM

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

RealRui/mufc

A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)

RealRui/Multi-Drone-Multi-Object-Detection-and-Tracking

RealRui/MultigraphFL

Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology (ICCV 23)

RealRui/PersonalizedFL

Personalized federated learning codebase for research

RealRui/ProG

All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.

RealRui/WirelessFL-PDG